Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Regularization Algorithms for Ill-Posed Problems

Regularization Algorithms for Ill-Posed Problems

Bakushinsky, Anatoly B.
Kokurin, Mikhail M.
Kokurin, Mikhail Yu

Hardcover

Series: Inverse and Ill-Posed Problems, Book 61

General Mathematics

ISBN10: 3110556308
ISBN13: 9783110556308
Publisher: De Gruyter
Published: Feb 5 2018
Pages: 342
Weight: 1.49
Height: 0.90 Width: 6.80 Depth: 9.60
Language: English

This specialized and authoritative book contains an overview of modern approaches to constructing approximations to solutions of ill-posed operator equations, both linear and nonlinear. These approximation schemes form a basis for implementable numerical algorithms for the stable solution of operator equations arising in contemporary mathematical modeling, and in particular when solving inverse problems of mathematical physics. The book presents in detail stable solution methods for ill-posed problems using the methodology of iterative regularization of classical iterative schemes and the techniques of finite dimensional and finite difference approximations of the problems under study. Special attention is paid to ill-posed Cauchy problems for linear operator differential equations and to ill-posed variational inequalities and optimization problems. The readers are expected to have basic knowledge in functional analysis and differential equations. The book will be of interest to applied mathematicians and specialists in mathematical modeling and inverse problems, and also to advanced students in these fields.

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